Small object recognition using machine learning techniques

Self-driving cars developments are becoming the norm in both automotive and IT industry. Recent researches were focusing on ways these autonomous vehicles interact with its environment. Object detection using cameras is one of the important vision aids and they are used for applications such as path...

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Bibliographic Details
Main Author:	Tan, Zhi Wei
Other Authors:	Huang Guangbin
Format:	Final Year Project
Language:	English
Published:	2018
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	http://hdl.handle.net/10356/75496
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Institution:	Nanyang Technological University
Language:	English

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record_format	dspace
spelling	sg-ntu-dr.10356-754962023-07-07T17:03:46Z Small object recognition using machine learning techniques Tan, Zhi Wei Huang Guangbin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Self-driving cars developments are becoming the norm in both automotive and IT industry. Recent researches were focusing on ways these autonomous vehicles interact with its environment. Object detection using cameras is one of the important vision aids and they are used for applications such as path planning, object avoidance and localizations. In this study, the particular case of You Only Look Once v2 on the Udacity crowdAI data set was analyzed for its performance on different sizes of object classes. This work improves on the object performance of the original detection model for Car by an average of 12% on the VOC2007 Average Precision for all sizes. Specifically, the Small-Car and Small-Truck improved by 2.8% and 4% on the same metric. Bachelor of Engineering 2018-05-31T09:07:27Z 2018-05-31T09:07:27Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75496 en Nanyang Technological University 61 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Tan, Zhi Wei Small object recognition using machine learning techniques
description	Self-driving cars developments are becoming the norm in both automotive and IT industry. Recent researches were focusing on ways these autonomous vehicles interact with its environment. Object detection using cameras is one of the important vision aids and they are used for applications such as path planning, object avoidance and localizations. In this study, the particular case of You Only Look Once v2 on the Udacity crowdAI data set was analyzed for its performance on different sizes of object classes. This work improves on the object performance of the original detection model for Car by an average of 12% on the VOC2007 Average Precision for all sizes. Specifically, the Small-Car and Small-Truck improved by 2.8% and 4% on the same metric.
author2	Huang Guangbin
author_facet	Huang Guangbin Tan, Zhi Wei
format	Final Year Project
author	Tan, Zhi Wei
author_sort	Tan, Zhi Wei
title	Small object recognition using machine learning techniques
title_short	Small object recognition using machine learning techniques
title_full	Small object recognition using machine learning techniques
title_fullStr	Small object recognition using machine learning techniques
title_full_unstemmed	Small object recognition using machine learning techniques
title_sort	small object recognition using machine learning techniques
publishDate	2018
url	http://hdl.handle.net/10356/75496
_version_	1772825160633548800

Small object recognition using machine learning techniques

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